RPLNAzure Solution Architect

Title

Expert Hands on GenAI/AI and Azure Solution Architect with background in Azure and Databricks.

Location

Bangalore

About the role & where it fits

• Were looking for an expert hands on GenAI Solution Architect to design deliver and scale GenAI solutions. Youll own end to end solution architecture and production grade deployment-ensuring technical integrity fit for purpose designs and the right total cost of ownership. Youll partner with Portfolio/Segment Architects product teams Data/Platform Engineering Security & Risk and business stakeholders to turn use case opportunities into resilient solutions that comply with company standards and reference architectures. Apart for Gen AI proven experience with Cloud especially Azure ReactJS NodeJS microservices and Databricks is a must.

Key accountabilities

Architecture & delivery

• Own the solution architecture covering Business Process Data Application Technical and Information Security views; document designs using standard HLD templates and ArchiMate and steer designs through the Architecture Review Board (ARB).
• Translate business objectives into evaluated solution options (build/configure/consume) recommending patterns such as RAG fine tuning agentic workflows and predictive ML aligned to our platforms (Azure AI Foundry Databricks Mosaic AI Copilot Studio etc).
• Lead hands on prototyping (POCs/experiments) and harden successful patterns into operational solutions with robust observability guardrails and lifecycle management.

Engineering excellence

• Define and enforce non functional requirements (performance reliability cost security/privacy compliance) and ensure production grade MLOps/LLMOps (CI/CD feature stores prompt/version management rollback strategies blue/green canary).
• Guide teams on data readiness (curation governance lineage) vector indexing prompt & tool orchestration and model selection (including upgrade paths-e.g. GPT 4.0 4.1) with backwards compatibility and impact assessment.

Governance safety & risk

• Embed Responsible AI controls data minimisation PII handling RBAC context isolation prompt safety and content filtering; apply the Vendor Trust Framework and Security & Risk checklists for GenAI SaaS where relevant.
• Anticipate and mitigate platform risks (e.g. content ingestion reliability for RAG solutions) and coordinate incident response with platform owners.S